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Application of GIS techniques for developing a fish index of biotic integrity for an ecoregion with low species richness

机译:GIS技术在物种丰富度低的生态区域中开发鱼类生物完整性指数的应用

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We describe a process for developing an index of biotic integrity (IBI) for resident fish communities in an ecoregion that exhibits low natural species richness. From 1990 to 2006, fish community samples were collected by the North Carolina Division of Water Quality (NCDWQ) at 36 sample sites in the Cape Fear, Lumber, and Yadkin river basins within the Sandhills region of North Carolina. The NCDWQ does not currently have an IBI capable of distinguishing significant differences between reference and non-reference streams. To develop a more robust method of measuring responses to anthropogenic disturbance, we delineated contributing watersheds for each of the 36 sample sites using a geographic information system, hydrologic modeling, and 20-foot-resolution digital elevation models derived from light-detection and ranging data. The 2001 National Land Cover Database (NLCD) and in situ habitat data were used to determine various land-use/land-cover and hydrologic variables within each watershed. These variables were then used to select the sites with absolute minimal anthropogenic impacts. We used the Kruskal-Wallis test to identify 11 fish-community metrics, 2 chemical metrics, and 9 individual species that were significantly different between reference and non-reference sites. Of the final 15 metrics, only 3 exhibited higher values in reference streams. Our results demonstrate that the abundance and richness of the Sandhills fish fauna are greater in areas more highly impacted by anthropogenic activities. By automating the process by which reference sites are chosen, we were able to produce a multi-metric IBI that reflects the varying levels of anthropogenic impacts on wadeable streams in the Sandhills.
机译:我们描述了开发出自然物种丰富度较低的生态区域中居民鱼类群落的生物完整性指数(IBI)的过程。从1990年到2006年,北卡罗来纳州水质局(NCDWQ)在北卡罗来纳州桑德希尔斯地区的Cape Fear,Lumber和Yadkin河流域的36个采样点采集了鱼类群落样品。 NCDWQ当前没有能够区分参考流和非参考流之间显着差异的IBI。为了开发一种更强大的方法来测量对人为干扰的响应,我们使用地理信息系统,水文建模以及从光探测和测距数据得出的20英尺分辨率数字高程模型,为36个样本站点中的每个站点描绘了分水岭。 2001年国家土地覆盖数据库(NLCD)和原地栖息地数据用于确定每个流域内的各种土地利用/土地覆盖和水文变量。然后将这些变量用于选择人为影响绝对最小的地点。我们使用Kruskal-Wallis检验确定了11个鱼类群落指标,2个化学指标和9个个体物种,它们在参考点和非参考点之间都存在显着差异。在最终的15个指标中,只有3个在参考流中显示出更高的值。我们的结果表明,在受到人为活动影响更大的地区,Sandhills鱼的动物种类丰富而丰富。通过自动化选择参考站点的过程,我们能够生成多指标的IBI,该IBI反映了人为因素对Sandhills中可涉河流的不同程度的影响。

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